Multiple attribute decision-making methods for the dynamic operator allocation problem

Multiple attribute decision-making methods for the dynamic operator allocation problem

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Article ID: iaor20072514
Country: Netherlands
Volume: 73
Issue: 5
Start Page Number: 285
End Page Number: 299
Publication Date: Jan 2007
Journal: Mathematics and Computers in Simulation
Authors: , ,
Keywords: decision theory: multiple criteria
Abstract:

This study explores two multiple attribute decision-making methods to solve a dynamic operator allocation problem. Both methods use an analytic hierarchy process to determine attribute weights a priori. The first method uses a technique for order preference by similarity to ideal solution (TOPSIS). The second method incorporates a fuzzy-based logic that uses linguistic variable representation, fuzzy operation, and fuzzy defuzzification. The TOPSIS uses deterministic performance ratings and attribute weights, whilst the fuzzy-based is a linguistic method. An applied case study drawn from existing literature is used to demonstrate and test findings. The proposed methods systematically evaluate alternative scenarios, with the result indicating promise for solving an operator allocation decision problem.

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